Laurent D. Cohen
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Gabriel PeyréSébastien BougleuxPablo ArbeláezWalter G. KropatschNicole M. ArtnerAdrian IonDa ChenFang Yang
- Topics
- Medical Image Segmentation Techniques (8 papers)Image Retrieval and Classification Techniques (4 papers)3D Shape Modeling and Analysis (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
In The Last Decade
Laurent D. Cohen
14 papers receiving 337 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 227
- Computational Mechanics 143
- Computer Graphics and Computer-Aided Design 79
- Media Technology 40
- Radiology, Nuclear Medicine and Imaging 32
Countries citing papers authored by Laurent D. Cohen
This map shows the geographic impact of Laurent D. Cohen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laurent D. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent D. Cohen more than expected).
Fields of papers citing papers by Laurent D. Cohen
This network shows the impact of papers produced by Laurent D. Cohen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laurent D. Cohen. The network helps show where Laurent D. Cohen may publish in the future.
Co-authorship network of co-authors of Laurent D. Cohen
This figure shows the co-authorship network connecting the top 25 collaborators of Laurent D. Cohen. A scholar is included among the top collaborators of Laurent D. Cohen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laurent D. Cohen. Laurent D. Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 27 | |
| 9 | 96 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 39 | |
| 13 | 16 | |
| 14 | 130 | |
| 15 | 1 |
About Laurent D. Cohen
Laurent D. Cohen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 15 papers that have together received 353 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (79 citations), Computer Vision and Pattern Recognition (227 citations) and Computational Mechanics (143 citations). Laurent D. Cohen has collaborated with scholars based in France, China and Austria. Frequent co-authors include Gabriel Peyré, Sébastien Bougleux, Pablo Arbeláez, Walter G. Kropatsch, Nicole M. Artner, Adrian Ion, Da Chen, Fang Yang, Huazhong Shu and Jean‐Marie Mirebeau. Their work appears in journals such as Pattern Recognition, International Journal of Computer Vision and IEEE Transactions on Instrumentation and Measurement.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.